DATA ANALYSIS: Frequency distributions will include plots of the data, distribution curves to test for normality, parametric and non-parametric measures of central tendency and dispersion, as well as the Shapiro-Wilk W test for normality. Means will be reported + the standard deviation (SD). The percent coefficient of variation (CV) will be calculated as (SD/mean) multiplied by 100%. Correlation analysis (JMP) will be performed across the subject and outcome variables using non-parametric techniques (Spearman Rho, continuous data only). The dependence of outcome variables (the pharmacokinetic parameters) upon subject characteristics (demographic data such as age, weight, CD4 count, etc.) will be determined by using Y by X analyses, one parameter at a time (continuous or nominal data). Subsequently, models with multiple X variables will be constructed using forward addition and backward deletion. Correlations between parameters and covariates will be considered statistically significant at p 3/4 0.05.